Journal ArticleDOI
A survey on population-based meta-heuristic algorithms for motion planning of aircraft
TLDR
In this paper, a comprehensive survey on population-based meta-heuristic algorithms for aircraft motion planning is presented, where the authors provide some suggestions on how to select appropriate algorithm for a particular aircraft motion-planning problem.Abstract:
Meta-heuristic algorithms have turned out to be good methods to address optimization problems with complicated constraints, and those algorithms have been widely applied to many aircraft motion planning problems. An optimal flight path is crucial for the aircraft to complete the specific task safely and efficiently. The existing surveys lack a broad review on the population-based meta-heuristic algorithms focusing on the aircraft motion planning problem, which fails to summarize the latest progress in this field. Therefore, a comprehensive survey on this topic is carried out from new perspectives. The mathematical model, the population-based meta-heuristic algorithms and their modifications regarding the aircraft motion planning problem are all included. Discussion is also made based on the statistical data from the collected literatures. It is anticipated that this survey will provide the researchers with some suggestions on how to select appropriate population-based meta-heuristic algorithms for a particular aircraft motion planning problem.read more
Citations
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Journal ArticleDOI
Swarm-Based 4D Path Planning For Drone Operations in Urban Environments
TL;DR: In this paper, a swarm-based method is proposed to solve the complicated optimization problem of 4D path planning for drone operations in urban environments, where the goal is to obtain several different short flight paths as alternatives.
Journal ArticleDOI
Conflict-free four-dimensional path planning for urban air mobility considering airspace occupancy
Wei Dai,Bizhao Pang,Kin Huat Low +2 more
TL;DR: In this article, a Conflict-Free A* (CFA*) algorithm is developed for planning four-dimensional paths based on first-come-first-served scheme, which contains a novel design of heuristic function and a conflict detection and resolution strategy.
Journal ArticleDOI
3D path planning and real-time collision resolution of multirotor drone operations in complex urban low-altitude airspace
TL;DR: A fusion scheme to achieve autonomous drone collision-free path planning considering static obstacles and dynamic threats detected based on the Markov decision process to implement real-time dynamic collision avoidance of multirotor drones.
Journal ArticleDOI
A hybrid particle swarm optimization-gauss pseudo method for reentry trajectory optimization of hypersonic vehicle with navigation information model
TL;DR: Simulation results demonstrate that the established navigation information-based reentry trajectory optimization model is rational and can improve the safety level of flight.
Journal ArticleDOI
A meta-heuristic assisted underwater glider path planning method
TL;DR: In this paper, a grey wolf enhanced equilibrium optimizer (GWEEO) is proposed to solve the problem of underwater glider path planning, and a well-designed competition mechanism is introduced to accelerate the convergence.
References
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Proceedings ArticleDOI
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